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4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering : ICAIAME 2022 / / edited by D. Jude Hemanth, Tuncay Yigit, Utku Kose, Ugur Guvenc
| 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering : ICAIAME 2022 / / edited by D. Jude Hemanth, Tuncay Yigit, Utku Kose, Ugur Guvenc |
| Autore | Hemanth D. Jude |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (779 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YigitTuncay
KoseUtku GuvencUgur |
| Collana | Engineering Cyber-Physical Systems and Critical Infrastructures |
| Soggetto topico |
Computational intelligence
Artificial intelligence Engineering - Data processing Computational Intelligence Artificial Intelligence Data Engineering |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 3-031-31956-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Sentiment Analysis in Turkish using Transformer-based Deep Learning Models -- Mathematical Modeling of an Antenna Device Based on a T-shaped Waveguide of the Microwave Range -- Higher-order and stable numerical scheme for nonlinear diffusion system via compact finite difference and adaptive step-size Runge-Kutta methods -- Explainable Artificial Intelligence (XAI) for Deep Learning Based Intrusion Detection Systems -- A Color Channel Based Analysis on Image Tessellation -- Modeling of Shear Strength of Basalt Fiber Reinforced Clay (BFRC) Soil Using Artificial Neural Network (ANN) -- Change of the Internet with Blockchain and Metaverse Technologies -- A Language-Free Hate Speech Identification on Code-Mixed Conversational Tweets -- Decision Trees in Causal Inference -- The Resilience of Unmanned Aerial Vehicles to Cyberattacks and Assessment of Potential Threats. |
| Record Nr. | UNINA-9910728392403321 |
Hemanth D. Jude
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in parallel computing technologies and applications
| Advances in parallel computing technologies and applications |
| Autore | Hemanth D. Jude |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | , : IOS Press, Incorporated, , 2021 |
| Descrizione fisica | 1 online resource (450 pages) |
| Disciplina | 004.35 |
| Altri autori (Persone) |
ElhosenyMohamed
NguyenT. N |
| Collana | Advances in Parallel Computing |
| Soggetto topico |
Parallel processing (Electronic computers)
Parallel programming (Computer science) |
| ISBN | 1-64368-219-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Title Page -- Preface -- Contents -- Intrusion Detection System Using Convolutional Neural Network on UNSW NB15 Dataset -- VANET: Trust Evaluation Using Artificial Neural Network -- Auto Question Tagging for Health Care Using Machine Learning Technique -- A Noninvasive Model to Detect Malaria Based on Symptoms Using Machine Learning -- A Contemporary Method on Feature Selection and Classification Using Multi-Model Deep Learning Technique for Identifying Diabetic Retinopathy -- Multilevel Security Biometric Authentication Locking System Using Arduino UNO -- Footstep Power Generating System -- Secure and Privacy Based Home Patient Monitoring Internet of Things (HPMIoT) -- An Efficient Algorithm for Movie Recommendation System -- Person Identification Using Face and Speech Recognition for Visually Challenged with Mask Detection -- Framework for Authentication 802.1X Security Protocol of WNAS as RFC Access Management Device Associated with RFC Authentication Management Technique -- Fog Enabled Cloud Based Heart Rate Monitoring System -- COVID-19: Role of Deep Learning and Cloud Through Identification of Kidney, Pancreas and Intestine -- Energy Efficient Clustering Technique for VANET -- Trust-Based Public Key Management for Data Distribution in Wireless Networks -- Enhanced Handwritten Document Recognition Using Confusion Matrix Analysis -- The Role of AI in Battling Against Covid-19 Crisis in India -- Deep Learning Based Static Analysis of Malwares in Android Applications -- A Comparative Study of Detection and Classification of Emotions on Social Media Using SVM and Naive Bayes Techniques -- Survey on Erythema Migrans, and Basal Cell Carcinoma in Computer-Aided Diagnosis -- Sign Language Translator Using YOLO Algorithm -- Student Performance Prediction Using Machine Learning.
A New Approach for Security in Cloud Data Storage for IOT Applications Using Hybrid Cryptography Technique -- Intelligent Framework for Number Plate Detection and Recognition in Toll Using Image Processing Techniques -- IoT Based Health Monitoring System -- Traffic Monitoring System Using IoT and DL -- Distinct Actions Classification Using Human Action Tracker Technique in Sports Videos -- Smart Wearable System to Assist Asthma Patients -- Covid-19 Sentiment Analysis Using Deep Learning and Machine Learning -- Maize Grain Quality Classification Using Convolutional Neural Network -- Finding State of Mind Through Emotion and Sentiment Analysis of the Twitter Text -- A Novel Dual Encryption Algorithm to Enhance the Security in Image Transmission Using LSB 3-2-2 Technique -- Applications of Object Detection, Brain Tumor Detection and Classification -- Parallel Computing Enabled Cloudd-Based IOT Applications -- A Survey on Securing Medical Data in Cloud Using Blockchain -- Network Lifetime Analysis in IOT Environment in Healthcare Sectors Using Deep Learning Routing Approach -- An Comprehensive Survey on Applications of Precision Agriculture in the Context of Weed Classification, Leave Disease Detection, Yield Prediction and UAV Image Analysis -- IoT Based Shirodhara -- Model for Refactoring a Software Using Feature Oriented Dependency (FOD) -- Automatic Biometric System for Finger Knuckle Using Sparse Encoder Approaches -- Stock Market Prediction Using Machine Learning Techniques -- Smart Surveillance System for Abnormal Activity Detection Using CNN -- Increased Energy Conservation in Internet of Things (IoT) Related Wireless Networking -- Multi-Scale Fish Segmentation Refinement Using Contour Based Segmentation -- Heart Disease Prediction Using Hybrid Random Forest Model Integrated with Linear Model. Heart Disease Prediction Using Convolutional Neural Network -- Ensuring the Survivablity of the Trekker Using Drone and RFID Technology -- IoT Based Smart Electrolytic Bottle Monitoring -- Smartphone Controlled Fingerprint Door Look System (SCFDLS) -- Effective Cataloging over Diverse Algorithms for Automatic Text Summarization and Its Survey -- Prospective Classification over Various Handwritten Character Recognition Algorithms - A Survey -- E-Society - A Financial and Event Management System -- Subject Index -- Author Index. |
| Record Nr. | UNINA-9910795023703321 |
|
Hemanth D. Jude
|
||
| , : IOS Press, Incorporated, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in parallel computing technologies and applications
| Advances in parallel computing technologies and applications |
| Autore | Hemanth D. Jude |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | , : IOS Press, Incorporated, , 2021 |
| Descrizione fisica | 1 online resource (450 pages) |
| Disciplina | 004.35 |
| Altri autori (Persone) |
ElhosenyMohamed
NguyenT. N |
| Collana | Advances in Parallel Computing |
| Soggetto topico |
Parallel processing (Electronic computers)
Parallel programming (Computer science) |
| ISBN | 1-64368-219-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Title Page -- Preface -- Contents -- Intrusion Detection System Using Convolutional Neural Network on UNSW NB15 Dataset -- VANET: Trust Evaluation Using Artificial Neural Network -- Auto Question Tagging for Health Care Using Machine Learning Technique -- A Noninvasive Model to Detect Malaria Based on Symptoms Using Machine Learning -- A Contemporary Method on Feature Selection and Classification Using Multi-Model Deep Learning Technique for Identifying Diabetic Retinopathy -- Multilevel Security Biometric Authentication Locking System Using Arduino UNO -- Footstep Power Generating System -- Secure and Privacy Based Home Patient Monitoring Internet of Things (HPMIoT) -- An Efficient Algorithm for Movie Recommendation System -- Person Identification Using Face and Speech Recognition for Visually Challenged with Mask Detection -- Framework for Authentication 802.1X Security Protocol of WNAS as RFC Access Management Device Associated with RFC Authentication Management Technique -- Fog Enabled Cloud Based Heart Rate Monitoring System -- COVID-19: Role of Deep Learning and Cloud Through Identification of Kidney, Pancreas and Intestine -- Energy Efficient Clustering Technique for VANET -- Trust-Based Public Key Management for Data Distribution in Wireless Networks -- Enhanced Handwritten Document Recognition Using Confusion Matrix Analysis -- The Role of AI in Battling Against Covid-19 Crisis in India -- Deep Learning Based Static Analysis of Malwares in Android Applications -- A Comparative Study of Detection and Classification of Emotions on Social Media Using SVM and Naive Bayes Techniques -- Survey on Erythema Migrans, and Basal Cell Carcinoma in Computer-Aided Diagnosis -- Sign Language Translator Using YOLO Algorithm -- Student Performance Prediction Using Machine Learning.
A New Approach for Security in Cloud Data Storage for IOT Applications Using Hybrid Cryptography Technique -- Intelligent Framework for Number Plate Detection and Recognition in Toll Using Image Processing Techniques -- IoT Based Health Monitoring System -- Traffic Monitoring System Using IoT and DL -- Distinct Actions Classification Using Human Action Tracker Technique in Sports Videos -- Smart Wearable System to Assist Asthma Patients -- Covid-19 Sentiment Analysis Using Deep Learning and Machine Learning -- Maize Grain Quality Classification Using Convolutional Neural Network -- Finding State of Mind Through Emotion and Sentiment Analysis of the Twitter Text -- A Novel Dual Encryption Algorithm to Enhance the Security in Image Transmission Using LSB 3-2-2 Technique -- Applications of Object Detection, Brain Tumor Detection and Classification -- Parallel Computing Enabled Cloudd-Based IOT Applications -- A Survey on Securing Medical Data in Cloud Using Blockchain -- Network Lifetime Analysis in IOT Environment in Healthcare Sectors Using Deep Learning Routing Approach -- An Comprehensive Survey on Applications of Precision Agriculture in the Context of Weed Classification, Leave Disease Detection, Yield Prediction and UAV Image Analysis -- IoT Based Shirodhara -- Model for Refactoring a Software Using Feature Oriented Dependency (FOD) -- Automatic Biometric System for Finger Knuckle Using Sparse Encoder Approaches -- Stock Market Prediction Using Machine Learning Techniques -- Smart Surveillance System for Abnormal Activity Detection Using CNN -- Increased Energy Conservation in Internet of Things (IoT) Related Wireless Networking -- Multi-Scale Fish Segmentation Refinement Using Contour Based Segmentation -- Heart Disease Prediction Using Hybrid Random Forest Model Integrated with Linear Model. Heart Disease Prediction Using Convolutional Neural Network -- Ensuring the Survivablity of the Trekker Using Drone and RFID Technology -- IoT Based Smart Electrolytic Bottle Monitoring -- Smartphone Controlled Fingerprint Door Look System (SCFDLS) -- Effective Cataloging over Diverse Algorithms for Automatic Text Summarization and Its Survey -- Prospective Classification over Various Handwritten Character Recognition Algorithms - A Survey -- E-Society - A Financial and Event Management System -- Subject Index -- Author Index. |
| Record Nr. | UNINA-9910824194203321 |
|
Hemanth D. Jude
|
||
| , : IOS Press, Incorporated, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5. 0 : Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 1
| Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5. 0 : Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 1 |
| Autore | Hemanth D. Jude |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (291 pages) |
| Altri autori (Persone) |
KoseUtku
PatrutBogdan ErsoyMevlut |
| Collana | Engineering Cyber-Physical Systems and Critical Infrastructures Series |
| ISBN | 3-031-56310-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910847577803321 |
|
Hemanth D. Jude
|
||
| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5. 0 : Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 2
| Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5. 0 : Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 2 |
| Autore | Hemanth D. Jude |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (317 pages) |
| Altri autori (Persone) |
KoseUtku
PatrutBogdan ErsoyMevlut |
| Collana | Engineering Cyber-Physical Systems and Critical Infrastructures Series |
| ISBN | 3-031-56322-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910847598703321 |
|
Hemanth D. Jude
|
||
| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Smart Applications with Advanced Machine Learning and Human-Centred Problem Design / / by D. Jude Hemanth, Utku Kose, Junzo Watada, Bogdan Patrut
| Smart Applications with Advanced Machine Learning and Human-Centred Problem Design / / by D. Jude Hemanth, Utku Kose, Junzo Watada, Bogdan Patrut |
| Autore | Hemanth D. Jude |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (801 pages) |
| Disciplina |
016.403
006.3 |
| Collana | Engineering Cyber-Physical Systems and Critical Infrastructures |
| Soggetto topico |
Computational intelligence
Artificial intelligence Engineering - Data processing Computational Intelligence Artificial Intelligence Data Engineering |
| ISBN | 3-031-09753-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- General Committees -- Honorary Chairs -- General Chair -- Conference Chairs -- Organizing Committee -- Secretary and Social Media -- Accommodation and Registration/Venue Desk -- Travel/Transportation -- Web/Design/Conference Session -- Scientific Committee -- Keynote Speaks -- ICAIAME 2021 Keynote Speakers -- Foreword -- Preface -- Contents -- About the Conference -- Scope/Topics -- Conference Scope/Topics (as not limited to) -- Conference Posters -- 1 Implementation of Basic Math Processing Skills with Neural Arithmetic Expressions in One and Two Stage Numbers -- 1.1 Introduction -- 1.1.1 Neural Arithmetic Expressions and Logic Units -- 1.1.2 Long Short-Term Memory Algorithm -- 1.2 Related Work -- 1.3 Proposed Method -- 1.4 Experimental Findings -- 1.5 Conclusions -- References -- 2 An Example Application for Early Diagnosis of Retinal Diseases Using Deep Learning Methods -- 2.1 Introduction -- 2.2 Material and Method -- 2.2.1 Material -- 2.2.2 Method -- 2.3 Research Findings -- 2.4 Discussion -- 2.5 Results -- References -- 3 Autonomous Parking with Continuous Reinforcement Learning -- 3.1 Introduction -- 3.2 Related Works -- 3.2.1 Deep Q Networks -- 3.2.2 Deep Deterministic Policy Gradient Algorithm -- 3.2.3 Twin Delayed Temporal Difference Algorithm -- 3.2.4 Soft Actor Critic Algorithm -- 3.2.5 Hindsight Experience Replay Algorithm -- 3.2.6 Parking Environment Simulation Model -- 3.3 Experiments and Results -- 3.4 Conclusions and Future Work -- References -- 4 Design and Manufacturing of a 3 DOF Robot with Additive Manufacturing Methods -- 4.1 Introduction -- 4.2 Material and Method -- 4.2.1 Material -- 4.3 Method -- 4.4 Findings and Discussion -- 4.5 Conclusion -- References -- 5 Real-Time Mask Detection Based on Artificial Intelligence Using Renewable Energy System Unmanned Aerial Vehicle -- 5.1 Introduction -- 5.2 Related Studies.
5.3 Material and Method -- 5.3.1 Material -- 5.3.2 Material and Method -- 5.4 Research Findings -- 5.5 Conclusion -- References -- 6 Investigation of Effect of Wrapping Length on the Flexural Properties of Wooden Material in Reinforcement with Aramid FRP -- 6.1 Introduction -- 6.2 Material and Method -- 6.3 Results -- 6.4 Conclusions -- References -- 7 Deep Learning-Based Air Defense System for Unmanned Aerial Vehicles -- 7.1 Introduction -- 7.2 Material and Method -- 7.2.1 Material -- 7.2.2 Method -- 7.3 Research Findings -- 7.3.1 MobileNetV2 Training Results -- 7.3.2 Xception Training Results -- 7.3.3 InceptionV3 Training Results -- 7.4 Results -- References -- 8 Strategic Framework for ANFIS and BIM Use on Risk Management at Natural Gas Pipeline Project -- 8.1 Introductıon -- 8.2 Literature -- 8.3 Materials and Methods -- 8.3.1 Artificial Neural Networks (ANN) -- 8.3.2 Structure of Artificial Neural Network -- 8.3.3 Fuzzy Inference System -- 8.3.4 Adaptive Neuro-Fuzzy Inference System-ANFIS -- 8.3.5 What is the Building Information Modelling (BIM) -- 8.3.6 Methods -- 8.4 Results -- 8.5 Conclusion -- References -- 9 Predicting Ethereum Price with Machine Learning Algorithms -- 9.1 Introduction -- 9.2 Related Works -- 9.3 Method and Material -- 9.3.1 Used Methods -- 9.3.2 Data Collecting -- 9.3.3 Method -- 9.4 Discussion and Results -- 9.5 Conclusions and Future Work -- References -- 10 Data Mining Approachs for Machine Failures: Real Case Study -- 10.1 Introductıon -- 10.2 Literature -- 10.3 Methods -- 10.3.1 Re-processing the Data -- 10.3.2 Methods -- 10.4 Results -- 10.5 Conclusion -- References -- 11 Classification of People Both Wearing Medical Mask and Safety Helmet -- 11.1 Introduction -- 11.2 Materials and Methods -- 11.2.1 Dataset -- 11.2.2 Method -- 11.2.3 Single Deep Neural Network -- 11.2.4 Double Deep Neural Network. 11.3 Conclusions and Future Work -- References -- 12 Anonymization Methods for Privacy-Preserving Data Publishing -- 12.1 Introduction -- 12.2 Big Data Definition -- 12.3 Data Anonymization -- 12.3.1 Protection Methods with Anonymization -- 12.3.2 Anonymization and Protection Models -- 12.4 Literature Review -- 12.5 Comparison of Existing Studies -- 12.6 Conclusion -- References -- 13 Improving Accuracy of Document Image Classification Through Soft Voting Ensemble -- 13.1 Introduction -- 13.2 Related Works -- 13.3 Methodology -- 13.3.1 Document Image Classification -- 13.3.2 Image Pre-processing -- 13.3.3 Convolutional Neural Network -- 13.3.4 Soft Voting -- 13.4 Experiments and Result -- 13.4.1 Dataset -- 13.4.2 Evaluation Metrics -- 13.4.3 Experiments -- 13.5 Conclusion -- References -- 14 Improved Performance of Adaptive UKF SLAM with Scaling Parameter -- 14.1 Introduction -- 14.2 Adaptive UKF SLAM -- 14.3 Simulation Results and Discussions -- 14.4 Conclusion and Suggestions -- References -- 15 An Adaptive EKF Algorithm with Adaptation of Noise Statistic Based on MLE, EM and ICE -- 15.1 Introduction -- 15.2 Methods -- 15.2.1 Extended Kalman Filter (EKF) -- 15.2.2 Unscented Kalman Filter (UKF) -- 15.2.3 Adaptive Extended Kalman Filter (AEKF) -- 15.2.4 Data Association -- 15.2.5 AEKF-SLAM Algorithm -- 15.3 Simulation Results and Discussion -- 15.4 Conclusions and Future Work -- References -- 16 Artificial Intelligence Based Detection of Estrus in Animals Using Pedometer Data -- 16.1 Introduction -- 16.2 Related Works -- 16.3 Method and Material -- 16.3.1 Architectural Design -- 16.3.2 Devices -- 16.3.3 Electronic Circuit Design -- 16.3.4 Proposed Algorithms -- 16.4 Discussion and Result -- 16.5 Conclusions and Future Work -- References -- 17 Enhancing Lexicon Based Sentiment Analysis Using n-gram Approach -- 17.1 Introduction. 17.2 Sentiment Lexicons -- 17.2.1 Vader -- 17.2.2 TextBlob -- 17.2.3 Afinn -- 17.2.4 SentiWordNet -- 17.3 Proposed Framework -- 17.3.1 Pre-processing Step -- 17.3.2 N-gram Extraction -- 17.3.3 Feature Space Construction -- 17.4 Experimental Results -- 17.5 Conclusion -- References -- 18 A Comparison of Word Embedding Models for Turkish -- 18.1 Introduction -- 18.2 Data and Data Preprocessing Steps -- 18.3 Method -- 18.3.1 Embedding Models -- 18.3.2 Classification Model -- 18.4 Experiments -- 18.5 Conclusion -- References -- 19 The Unfairness of Collaborative Filtering Algorithms' Bias Towards Blockbuster Items -- 19.1 Introduction -- 19.2 Related Works -- 19.3 Description of Blockbuster Items -- 19.4 Blockbuster Bias in User Profiles -- 19.4.1 The Propensities of Users for Blockbuster Items -- 19.4.2 Profile Size and Blockbuster Bias -- 19.5 Different User Groups in Terms of Inclination for Blockbuster -- 19.6 Algorithmic Propagation of Blockbuster Bias -- 19.6.1 Blockbuster Bias in Recommendations for Different User Groups -- 19.7 Conclusion and Future Work -- References -- 20 Improved Gradient-Based Optimizer with Dynamic Fitness Distance Balance for Global Optimization Problems -- 20.1 Introduction -- 20.2 Related Works -- 20.2.1 GBO -- 20.2.2 Dynamic Fitness-Distance Balance (dFDB) -- 20.2.3 Improved GBO with Dynamic Fitness Distance Balance -- 20.3 Experimental Study -- 20.3.1 Settings -- 20.3.2 Benchmark Problems -- 20.3.3 Constrained Engineering Design Problems -- 20.4 Analyze Results -- 20.4.1 Statistical Analysis Results -- 20.4.2 Convergence Analysis Results -- 20.4.3 Results for Engineering Design Problems -- 20.5 Conclusions and Future Work -- References -- 21 TR-SUM: An Automatic Text Summarization Tool for Turkish -- 21.1 Introduction -- 21.2 Literature Review -- 21.2.1 Related Studies in Turkish -- 21.2.2 Datasets in Turkish. 21.3 TR-SUM: A Text Summarization Tool for Turkish -- 21.3.1 General Overview of "TR-SUM: A Text Summarization Tool for Turkish" -- 21.3.2 TR-NEWS-SUM Dataset -- 21.3.3 Data Pre-processing -- 21.3.4 The Proposed Neural Network Models for Turkish Text Summarization -- 21.4 Discussion and Results -- 21.5 Conclusion and Future Work -- References -- 22 Automatic and Semi-automatic Bladder Volume Detection in Ultrasound Images -- 22.1 Introduction -- 22.2 Related Works -- 22.3 Method and Material -- 22.3.1 Data Set -- 22.3.2 Method -- 22.4 Discussion and Results -- 22.5 Conclusions and Future Work -- References -- 23 Effects of Variable UAV Speed on Optimization of Travelling Salesman Problem with Drone (TSP-D) -- 23.1 Introduction -- 23.2 Problem Definition -- 23.3 Methodology -- 23.3.1 Truck-Drone Algorithm Approach -- 23.4 Experimental Studies -- 23.4.1 Settings -- 23.4.2 Experimental Studies and Results -- 23.5 Discussions and Conclusion -- References -- 24 Improved Phasor Particle Swarm Optimization with Fitness Distance Balance for Optimal Power Flow Problem of Hybrid AC/DC Power Grids -- 24.1 Introduction -- 24.2 Mathematical Formulation of Optimal Power Flow Problem of Hybrid AC/DC Power Grids -- 24.2.1 State and Control Variables -- 24.2.2 Constraints -- 24.2.3 Objective Functions -- 24.3 Method -- 24.3.1 Fitness-Distance Balance Method -- 24.3.2 Overview of Phasor Particle Swarm Optimization (PPSO) Algorithm -- 24.3.3 Proposed FDBPPSO Algorithm -- 24.4 Experimental Settings -- 24.5 Results and Analysis -- 24.5.1 Determining the Best FDBPPSO Variant on CEC 2020 Test Suite -- 24.5.2 Application of the Proposed FDBPPSO Method for Optimal Power Flow Problem of Hybrid AC/DC Power Grids -- 24.6 Conclusions -- References. 25 Development of an FDB-Based Chimp Optimization Algorithm for Global Optimization and Determination of the Power System Stabilizer Parameters. |
| Record Nr. | UNINA-9910637709903321 |
|
Hemanth D. Jude
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||